THE JOINT SPATIAL AND RADIOMETRIC TRANSFORMER FOR REMOTE SENSING IMAGE RETRIEVAL [PDF]
Content-based remote sensing image retrieval refers to searching interested images from a remote sensing image dataset that are similar to a query image via extracting features (contents) from images and comparing their similarity.
Y. Wang, D. Yu, S. Ji, Q. Cheng, M. Luo
doaj +1 more source
A Marine Radar Wind Sensor [PDF]
A new method for retrieving the wind vector from radar-image sequences is presented. This method, called WiRAR, uses a marine X-band radar to analyze the backscatter of the ocean surface in space and time with respect to surface winds.
Dankert, Heiko, Horstmann, Jochen
core +2 more sources
An Application of Ternary Hash Retrieval Method for Remote Sensing Images in Panoramic Video
With the development of multimedia technology, the application of panoramic video is emerging, and there are specific application scenarios in the field of drones.
Weipeng Jing +2 more
doaj +1 more source
Knowledge-Aware Text–Image Retrieval for Remote Sensing Images
Image-based retrieval in large Earth observation archives is challenging because one needs to navigate across thousands of candidate matches only with the query image as a guide. By using text as information supporting the visual query, the retrieval system gains in usability, but at the same time faces difficulties due to the diversity of visual ...
Li Mi +3 more
openaire +2 more sources
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
Remote sensing (RS) image retrieval is of great significant for geological information mining. Over the past two decades, a large amount of research on this task has been carried out, which mainly focuses on the following three core issues: feature ...
Datcu, Mihai +5 more
core +1 more source
Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network
Conventional remote sensing image retrieval (RSIR) system usually performs single-label retrieval where each image is annotated by a single label representing the most significant semantic content of the image.
Zhenfeng Shao +4 more
doaj +1 more source
Composed Image Retrieval for Remote Sensing
Accepted for ORAL presentation at the 2024 IEEE International Geoscience and Remote Sensing ...
Psomas, Bill +6 more
openaire +2 more sources
Very Shallow Water Bathymetry Retrieval from Hyperspectral Imagery at the Virginia Coast Reserve (VCR\u2707) Multi-Sensor Campaign [PDF]
A number of institutions, including the Naval Research Laboratory (NRL), have developed look up tables for remote retrieval of bathymetry and in-water optical properties from hyperspectral imagery (HSI) [6].
Bachmann, Charles M +14 more
core +3 more sources
Remote Sensing Image Retrieval by Deep Attention Hashing With Distance-Adaptive Ranking
With the joint advancement of numerous related fields of remote sensing, the amount of remote sensing data is growing exponentially. As an essential remote sensing Big Data management technique, content-based remote sensing image retrieval has attracted ...
Yichao Zhang +2 more
doaj +1 more source
Deep Orthogonal Fusion Smoothing Hashing for Remote Sensing Image Retrieval
In the face of massive remote sensing image data, this is a challenging missions to retrieve images containing specific content quickly and accurately. With the characteristics of low storage and high efficiency, deep hashing algorithms have been widely ...
Fuwei Huang +3 more
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